Mirror — What your wins look like

What your won deals have in common. And your lost ones do not.

Mirror compares closed-won against closed-lost and reports only where the difference is large enough, and the sample big enough, to change what you do.

What Mirror actually does

  • Compares real closed deals, both directions
  • Reports only differences that clear a significance bar
  • Refuses below thirty closed deals rather than guessing
  • Feeds the audience builder directly
Why does it sometimes say nothing?
Below thirty closed deals there is no honest pattern to report. Saying so is more useful than an ICP invented from a handful of wins.
Can I turn it into a segment?
Yes — the audience builder takes the same criteria, and code executes the query rather than a model inventing the contacts.

Every Rider shows its working

Quotarider’s AI agents reason over your own records and never invent a fact about a company. Anything inferred says it is inferred, anything from outside carries a link you can open, and where the data to answer is not there they say so instead of returning a reassuring zero. That is the difference between an AI CRM you can audit and a chat box that guesses.